Jinhang Zhang

Harbin Institute of Technology, University of Technology Malaysia

Papers

Total Citations

H-Index

About

Jinhang Zhang is a researcher at the forefront of agricultural robotics and intelligent perception systems. His work bridges the gap between advanced computer vision and practical agricultural automation, with a particular focus on fruit thinning—a critical, labor-intensive process that directly impacts fruit quality and yield. Zhang’s most impactful contribution, the "DVDS: A Deep Visual Dynamic SLAM System" (2024), has already garnered 14 citations, demonstrating its significance in enabling autonomous navigation for robots in dynamic, unstructured environments. Complementing this, his study "Peach Fruit Thinning Image Detection Based on Improved YOLOv8 and Data Enhancement Techniques" (2024, 8 citations) tackles the pressing challenge of automating peach thinning, a task traditionally reliant on seasonal manual labor. By enhancing detection accuracy through data augmentation and model refinement, Zhang’s work paves the way for robotic systems that can selectively thin fruit, boosting orchard efficiency and reducing labor dependency. His research not only advances deep learning applications in agriculture but also offers scalable solutions for precision farming, making him a key contributor to the future of smart agriculture.